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ABSTRACT NUMBER: ESOC2026A1509 NONCONTRAST CT–BASED AI INFARCT CORE VOLUME THRESHOLDS IN ACUTE ISCHEMIC STROKE UNDER REPERFUSION THERAPIES
Abstract   Open access   Peer reviewed

ABSTRACT NUMBER: ESOC2026A1509 NONCONTRAST CT–BASED AI INFARCT CORE VOLUME THRESHOLDS IN ACUTE ISCHEMIC STROKE UNDER REPERFUSION THERAPIES

Alan Flores, Santiago Ortega-Gutierrez, Xavier Ustrell Roig, Ylenia Avivar Saez, Laia Seró, Antoni Suarez, Marta Rubiera, Leonardo Cruz-Criollo, Nashwa Abdelhakim and Marc Ribó
European stroke journal, Vol.11(Suppl 1), pp.i418-i419
05/06/2026
DOI: 10.1093/esj/aakag023.729
url
https://doi.org/10.1093/esj/aakag023.729View
Published (Version of record) Open Access

Abstract

Background and aims CTP has been used to guide reperfusion selection in late-window stroke. Recently, AI-based infarct core volume estimation on NCCT (AI-ICV, Methinks) has been associated to clinical outcomes. We investigated the association between AI-ICV, CTP-patterns, and outcomes in reperfused stroke patients. Methods Consecutive patients undergoing admission NCCT+CTP and treated with reperfusion-therapies (EVT and/or IVT) were collected from a prospective registry across three stroke-centers (January 2021–May 2024). Admission AI-ICV was categorized as favorable (≤35 mL) or unfavorable (>35 mL) based on prior observations. CTP-patterns were automatically determined (rCBF<30%; RAPID/IschemiaView) and categorized per EXTEND criteria as favorable or unfavorable. Late-window thrombolysis was defined as symptom onset–to–arrival >4hours. Outcomes were favorable outcome (mRS 0–2 at 3-months) and symptomatic-intracranial-hemorrhage(sICH) Results From 290 patients included (mean age 71.8 SD±14.6 years; median NIHSS 10[IQR:5–18]); 49% presented in late-window. Primary-EVT was performed in 54.1%, and 20% received IV-thrombolysis only. Favorable outcome occurred in 54.1% Overall, favorable AI-ICV was associated with favorable outcome (63.9% vs 36.0%, p<0.001) and remained independently associated after adjustment for CTP-pattern, age, and baseline NIHSS (OR 3.03, 95% CI 1.56–5.88; p=0.001, Figure1). Similar associations were observed in late-window (OR:3.91, 95% CI:1.23–12.47; p=0.021, Figure2). No association was observed between sICH and either AI-ICV or CTP-pattern. Conclusions Among reperfusion treated patients with available CTP, favorable AI-ICV on NCCT independently predicted favorable outcome, including in late-window, These finding support further evaluation of AI-ICV-based selection for reperfusion therapies, particularly late-window thrombolysis
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